Lead Product Manager, Food Search and Personalization

Get to Know the Role

Grab handles millions of sessions and searches across Southeast Asia every day. Were looking for a Lead PM who can do both: raise the bar on the current search and personalisation fundamentals while also building the next generation of LLM powered personalisation experiences 

This is a high-ownership IC role. Youll set the direction partner closely with ML engineers and data scientists and ship measurable outcomes for Food Deliveries consumer experience and business

The vision for this charter and role will be to take a robust discovery experience and step-change its experience relevance personalisation and efficiency to deliver outstanding consumer search experience and strong business outcomes

This role requires a blend of technical depth in search/recommendation systems connecting consumer problems to technical solutions and the leadership skills to align cross-functional teams based in Beijing and Singapore.

Critical tasks you will perform will include

• End-to-End Ownership of Food search discovery and recommendations experience roadmap for our Food deliveries Dining out products

• Build best in class Discovery upgrading the user discovery experience relevance personalisation resulting in increased conversion

• Lead AI-Led personalisation Evolution with roadmap for next-generation search capabilities: LLM-assisted search and personalisation 

• Partner with Data Science & ML Engineering to evolve the models and signals that power search algorithms and personalization. Translate model improvements into measurable consumer and business outcomes.

• Cross-Border Leadership - Drive the product strategy and execution for search acting as a bridge between our tech hubs in Beijing and Singapore and business and product stakeholders in the region.

Qualifications :

What Skills we are looking for

• Experience: 7-10 years of product management experience (or equivalent) with a proven track record of owning high-scale systems (e.g. search recommendations marketplaces).

• Strong Product Quant Orientation: Comfort shaping strategy using data designing rigorous experiments and making high-stakes trade-offs across conversion relevance and marketplace health.

• AI Tool Fluency You use AI tools actively in your day-to-day work - to analyse prototype and accelerate decisions. You have intuition about where LLMs add value and where they fall short in search/ recommendation systems

• Technical Communication: Capacity to convey complex concepts - such as ranking logic relevance algorithms or system architecture changes - to diverse technical and non-technical audiences.

• Search / recommendation experience - Demonstrated ability to drive outcomes with work around any of search retrieval/ ranking/optimizatio recommendation systems

• Global Collaboration: Experience working with distributed teams across different geographies; English is our primary working language.

Additional Information :

Life at Grab

We care about your well-being at Grab here are some of the global benefits we offer:

• We have your back with Term Life Insurance and comprehensive Medical Insurance.
• With GrabFlex create a benefits package that suits your needs and aspirations.
• Celebrate moments that matter in life with loved ones through Parental and Birthday leave and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
• We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through lifes challenges.
• Balancing personal commitments and lifes demands are made easier with our FlexWork arrangements such as differentiated hours

What We Stand For At Grab

We are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality ethnicity race religion age gender family commitments physical and mental impairments or disabilities and other attributes that make them unique.

Remote Work :

No

Employment Type :

Full-time